uberAgent consists of two main components: the actual agent runs on the endpoints you want to be monitored, sending the data it collects to the configured backend either directly or via Splunk’s Universal Forwarder. The second main component, implemented as a set of Splunk apps, provides dashboards, visualizations, searches, and reports.
uberAgent’s data collecting component is a lightweight agent that runs independently of any runtimes or frameworks. The agent’s footprint is so small that it is truly unobtrusive on the monitored endpoints and does not affect user density.
Where other products rely on Windows performance counters or similar unfiltered OS data, uberAgent comes with its own metrics. Instead of raw data uberAgent gives you information that matters (see uberAgent’s list of metrics).
The agent is highly configurable: metrics can be turned on or off individually, the data collection frequency can be chosen freely, blacklists and whitelists (supporting regular expressions) allow for fine-grained control. This ensures that only data you really need is sent to the backend for indexing.
Two Splunk apps help process and visualize the data collected by the agent. One lives on Splunk indexers and mainly creates uberAgent’s index and data input. The other is a dashboard app that implements the user interface, providing 50+ different views into the collected data. This is the dashboard app. Please note that the indexer app is required, too.
Most dashboards are searchable and have extensive filtering capabilities to give you a fast and powerful way of isolating specific data. Time range pickers make it easy to go back to the exact time a problem occurred.
uberAgent makes full use of Splunk’s advanced UI components to display a beautiful user interface that fluidly adapts to screen width and device type. As a result, it works equally well on a tablet as on a PC or Mac.
Download uberAgent here. The download package contains all required components: endpoint agents for Windows and macOS as well as Splunk apps.
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